246 jobs found

Lead Data & AI Scientist Hybrid: 1-2 days per week in the office (London) Permanent 100k- 150k DOE + Bonus + Benefits Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI. We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability. This is a high-impact, strategic role with responsibility for defining the direction of Data Science and AI across the organisation. You will lead the delivery of production-grade ML and GenAI solutions, build a high-performing specialist team, and partner closely with senior stakeholders to drive measurable business value. What You'll Be Doing Leading the design, development and productionisation of Machine Learning, AI and GenAI solutions across the business. Defining technical standards, best practices and governance for Data Science and MLOps. Identifying and prioritising high-impact use cases in partnership with Wealth, Enablement and Technology teams. Building, mentoring and developing a high-performing Data Science team. Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control. Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure deployment. Acting as a senior technical authority and thought leader in advanced analytics and AI. Championing innovation, experimentation and continuous improvement in AI and analytics delivery. Experience Required Proven experience in Head of or lead-level Data Science, AI or Machine Learning roles within enterprise environments. Strong Python and SQL skills, with experience developing production-grade analytical solutions. Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake). Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow). Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases). Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring). Experience leading, mentoring and developing technical teams. If you'd like to learn more, please contact Jacob Ferdinand at

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R285938

Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses on our technology. Engine is Starling's software-as-a-service (SaaS) business, and is the technology that was built to power Starling Bank. Engine split out as a separate business in early 2024. Starling Bank has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling The Cross Cutting Engineering team at Engine is the backbone of our innovation. We're dedicated to building and maintaining the reliable, scalable, and maintainable infrastructure and tooling that powers our entire software delivery pipeline - from the first line of code to seamless production deployment and ongoing operations. We own the lifecycle of our features, tackling complex challenges with a first-principles approach and fostering a multi-disciplinary environment where you're encouraged to explore and contribute across the platform. At Engine, we take the battle-tested banking technology pioneered by Starling Bank and re-engineer it for the global SaaS market. We currently manage multiple clients on a SaaS basis, and as our client list grows, so does the complexity of our infrastructure. The Mission: Database Manager & Replication Manager We don't believe in manual intervention. While our DBAs take over all responsibility of our PostgreSQL estate, our mission is to build the software layer that makes the "human-in-the-loop" obsolete and empower our technology teams to operate their own databases. We are building the next generation of tooling to manage a massive, multi-tenant estate where automation is the only way to scale. We are forming a new team (hiring for various levels of experience, from Senior through to Principal) to lead a multi-year roadmap focused on the development and evolution of two critical proprietary products: Database Manager: Our central orchestration platform and control plane. It integrates into our internal developer portal to handle ad-hoc maintenance - such as running VACUUMs, managing credential rotation, and terminating slow queries through a clean UI, ensuring no one ever needs direct access to a production database instance. Replication Manager: Our bespoke logical replication service. This system orchestrates and monitors data streaming, allowing us to perform major version upgrades and cross-tenant migrations with only seconds of downtime. We are solving difficult problems at scale, including the exploration of cloud native solutions to allow for a truly cross-cloud database infrastructure. Your goal is to ensure that, as we onboard more global clients, our database infrastructure remains stable, resilient, and autonomous. What you'll get to do Scale for Multi-Tenancy: Design and develop Java-based services within Database Manager to manage an ever-growing number of isolated database estates for our SaaS clients. Evolve Replication Manager: Enhance our data streaming orchestration to ensure "Zero-Downtime" transitions and migrations are seamless across a global footprint. Architect Cross-Cloud Portability: Work with cloud native solutions to build a database layer that is cloud-agnostic, allowing Engine to deploy reliably across different providers. Eliminate Manual Toil: Build high-level abstractions for complex maintenance tasks, ensuring the system proactively heals and maintains itself. Execute a Multi-Year Roadmap: Contribute to the long-term technical strategy of how Engine handles mission-critical data at a global scale. What we're looking for A Software Engineer First: You have deep expertise in Java working with JDBC, and enjoy building robust, testable, and maintainable backend services. You will be well versed in relational modelling and crafting clean DDL. Distributed Systems Enthusiast: You are excited by the challenge of "multi-everything"- multi-tenant, multi-region, and multi-cloud. PostgreSQL & Kubernetes Interest: You understand (or want to learn) the internals of Postgres and how to run it natively on Kubernetes. Systems Thinker: You have a natural "reluctance for manual implementation" and believe that infrastructure should be managed via code and APIs. A Security Mindset: Security is paramount when it comes to the storage and handling of data - we do not allow DBAs or engineers access to production data. Our Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with an Engineer - 45 minutes Take home technical test to be discussed in the next interview Technical interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing Why join Engine? This is a rare opportunity to sit at the intersection of Software Engineering and Database Internals. You aren't just a user of the cloud; you are building the engine that makes the cloud work for the next generation of global banking. With multiple clients already live and a significant roadmap ahead, the impact of your code will be felt by millions of customers worldwide. Don't worry if you don't tick every box below! We value curiosity, a willingness to learn, and a desire to work across multiple disciplines. If you're excited by the challenges of building and operating a global, cloud-native platform, we encourage you to apply. We have a great team - read about our work with Women In Tech , a Day in the life of a Software Engineer at Engine and our interview with our Staff Platform Engineer . Requirements Benefits

Location Glasgow, Newcastle-upon-Tyne About the job Job summary The Infected Blood Compensation Authority (IBCA) is responsible for delivering a compensation scheme that has been long awaited by the infected blood community to provide financial compensation to victims of infected blood on a UK-wide basis. This role sits within our Data Operations team in the IBCA Data Directorate and will lead the team of data solution, and data architects that are focus on the design of the IBCA data platform and organisational wide data modelling. The Data Operations team is responsible for developing and running safe and secure data solutions that provide a single source of truth for those going through their compensation journey. They are designing and building a new data platform using Amazon Web Services (AWS) and data management and intelligence products using Databricks and Quantexa. We are taking a product-centric approach treating data as a product and are building squads around our products, with a focus on paying compensation to those impacted by the infected blood scandal seamlessly. You will focus on designing scalable and flexible data solutions for data management processes (including data integration and master data management), ensuring data quality and continuous data publication to our consuming users and services, and driving a culture of problem statement driven design. Working at IBCA gives you a huge opportunity to make an impact on those who deserve compensation, and this role suits a candidate who can spearhead solutions from the ground up to take from ideation to reality so that data is an enabler to everything IBCA does. Job description As the Principle Data & Systems Architect for our data platform and products, you'll be critical to delivering the design of the IBCA data platform through technical solution and data architecture in addition to data modelling capabilities. You will mature the quality of our architecture practices and should be committed to delivering high-impact, secure data solutions to achieve IBCA's objectives. This post is within a data delivery setting, especially one focussed on AWS, Quantexa and Databricks. You will: Set the direction for data and systems architecture ensuring infrastructure is modular, resilient and aligned with business objectives Provide technical guidance for the development of designs across the data platform including integration and master data management encompassing secure by design principles such as 'privacy by design' and 'zero trust' architectures Ensure designs are scalable, secure and efficient and that they create systemic resilience of all data assets against emerging threats Lead efforts to standardise the enterprise data fabric streamlining ingestion patterns and integrating data from various sources of varying fidelity, ensuring a 'single source of truth' that promotes data consistency, accuracy, and quality Be responsible for data ontology ensuring that there are enterprise logical and physical data models embedded across the organisation to support operational efficiency and analytical capabilities, and these follow set data standards and data management policies Build and mentor a high-performing architecture function, fostering a culture of technical excellence and cross-functional collaboration. Help the data architecture practices thrive, you will call on your expertise in emerging data management approaches including on data centralisation and apply these to help the organisation deliver success Develop our internal data architecture capability by developing L&D routeways, shaping careers paths and recruiting talent to the organisation Provide leadership and guidance to the team, further developing your own architecture, delivery management and leadership skills Work with business stakeholders and across digital service teams, understanding their needs and translating them into high- and low-level architecture designs Work with industry partners to leverage the best of new and emerging tools and approaches Responsibilities Strategic Planning: Develop and execute the Data & Systems Architecture strategy. You will ensure the technical roadmap doesn't just store data, but actively powers business intelligence and AI readiness, aligning complex infrastructure with long-term organisational goals. Team Leadership: Use your expertise to build and maintain excellence in data & system architecture capabilities by building, leading, and mentoring a team of technical solution architects, data architects and modellers, fostering a collaborative and high-performing culture that bridges the gap between engineering and strategic business value. Data Platform Solution Design: Design and model robust, scalable, efficient and cost-effective data solutions for data ingestion, transformation, integration, publication and storage - and be the assurer of designs at architecture review boards such as Technical Design Authority. Data Quality: Ensure data quality and integrity across the data platform. Data Governance: Prescribe the level of data governance required, taking responsibility for assurance and make recommendations to ensure compliance with legal, regulatory and security standards. System Interoperability: Define the standards for the Data Platform to ensure API-first architecture and microservices so they there is seamless data flow and system integration via data publication. Collaboration: Work closely with business teams to understand data requirements and recommend design choices and provide technical expertise; and partner with senior leaders to provide assurance on solutions as they transition between design, implementation and live. Person specification Essential Criteria Accomplished expert with extensive hands-on experience at a senior level of defining and implementing data and system architecture. You must have significant experience in designing AWS ecosystems that host data management systems and orchestrate data integration, data quality & transformation processes, data matching and master data management and data publication. (Lead essential criteria) Deep proficiency in architecting end-to-end data lifecycles. This includes the strategic application of Data Lakes, Lakehouses, and NoSQL/SQL environments, with a focus on system interoperability. Demonstrable experience in building or radically transforming data & system architecture functions from scratch, particularly within high-sensitivity or regulated environments (e.g. handling PII/sensitive personal data at scale). Expert-level knowledge of embedding GDPR, Cloud Security Principles, and Zero-Trust frameworks into the very fabric of data system designs, rather than treating them as "bolt-on" compliance tasks. Expert in managing the balance between rapid delivery and long-term technical sustainability, and managing these standards through architecture peer review such as Technical Design Authority. Significant experience leading and scaling multi-disciplinary architecture teams. You have a proven ability to mentor and foster a culture of high performance within Agile/DevOps frameworks. Working at senior leadership level, establishing and maintaining organisational level networks and actively engaging other senior leaders. Desirable Criteria Experience of working with the Quantexa Decision Intelligence Platform and Databricks. Management of contracts and 3rd party suppliers for software and professional services.

Location Manchester About the job Job summary The Government Digital Service (GDS) is the digital centre of government - we are responsible for setting, leading and delivering the vision for a modern digital government. Our priorities are to drive a modern digital government, by: joining up public sector services harnessing the power of AI for the public good strengthening and extending our digital and data public infrastructure elevating leadership and investing in talent funding for outcomes and procuring for growth and innovation committing to transparency and driving accountability We are home to the Incubator for Artificial Intelligence (I.AI), the world-leading GOV.UK and at the forefront of coordinating the UK's geospatial strategy and activity. We lead the Government Digital and Data function and champion the work of digital teams across government. We're part of the Department for Science, Innovation and Technology (DSIT) and employ more than 1,000 people all over the UK, with hubs in Manchester, London and Bristol. The Government Digital Service is where talent translates into impact. From your first day, you'll be working with some of the world's most highly-skilled digital professionals, all contributing their knowledge to make change on a national scale. Join us for rewarding work that makes a difference across the UK. You'll solve some of the nation's highest-priority digital challenges, helping millions of people access services they need GOV.UK App The GOV.UK App is a new channel for GOV.UK. The app combines mobile-native features with AI technologies and functionality provided by other GDS products to offer a proactive and more personalised experience of GOV.UK on your phone. The app makes it easier for citizens to interact with government and helps government offer more proactive support to citizens This role will focus specifically on developing the GOV.UK app and its seamless integration with existing GOV.UK services and other government departments. Reporting into the Head of Architecture, you'll work within and support the wider GOV.UK app architecture team and collaborate with peers including the Head of Mobile Engineering to deliver a user-centric, highly scalable, resilient, and performant app experience. It is expected that this role will involve outreach to other government departments, so an ability to communicate to a wide set of stakeholders, along with the ability to manage many work streams concurrently is a must. Job description As a GDS Lead Technical architect, you'll share the responsibility for the digital transformation of government. You will help design and drive the technical strategy for the area you work in while ensuring alignment with broader GDS standards and goals. You'll hold the vision for technical architecture best practice in building resilient and reliable government services and communicate this to technical and non-technical audiences alike. Lead Technical Architects often work across different teams and services. You'll ensure that technical designs meet user needs and acceptance criteria, whilst conforming to time and budget constraints. You'll thrive using agile methods and enjoy working collaboratively with departments and multidisciplinary teams. Above all, you'll want to make government better, which may sometimes involve challenging the status quo. As a Lead Technical Architect, you'll: lead by example, be a visible leader who takes responsibility and acts as a role model contribute to the development and iteration of GDS architectural and engineering practices, principles and standards design technical services or plan system integration, selecting necessary platforms and technologies to meet project requirements and user needs provide technical leadership and consultancy to both internal and external development teams, ensuring designs & solutions are fit for purpose, whilst meeting time and budget restraints build and maintain technical roadmaps, looking ahead for future opportunities or blockers, and ensuring decisions by development teams align with the strategy encourage communication across multiple teams and wider organisational areas to identify strategic requirements and dependencies help develop services by contributing code, testing technologies and producing rapid prototypes advise teams on the right mix of capabilities to achieve their roadmapped goals and desired service levels act as a digital ambassador across government, supporting recruitment, identifying good practices for GDS to adopt and sharing experiences, e.g. through blog posts, tech talks at conferences etc be involved in helping recruiting technical architects and other senior technologists, where appropriate, helping sift and interview manage, coach and mentor more junior Technical Architects as well as others in the wider software engineering community Person specification We're interested in people who have: experience working on digital products, specifically those involving high profile native mobile apps experience in AWS, especially serverless and event driven architectures experience delivering platforms that handle load at a national scale experience building services which handle sensitive user data a passion for technology and its delivery in building a user-centric service in an ever changing space, ensuring the right technology solutions meet outcomes for our users strong software development and application architecture experience, with good knowledge of cloud technologies, open source technologies, testing, and at least one programming language such as Javascript an understanding of how to influence, manage and challenge complex stakeholder relationships and communicate with both technical and non-technical audiences experience of developing and managing high performing, agile, technical teams and creating an inclusive, collaborative culture across boundaries and locations practical knowledge at all levels of the web stack, from front-end code down to infrastructure and networking a deep understanding of modern technology practices such as test-driven development (TDD), continuous integration, continuous delivery and DevOps a good knowledge of cloud security architecture, including threat modelling, analysis and operations experience developing and implementing technical strategy and standards experience defining and refining technical governance in multidisciplinary agile environments If you meet a few of those criteria but think that you might not meet every last one then don't let that stop you from submitting an application.

Location Bristol Regional Centre - 3 Glass Wharf Newcastle Upon Tyne - Benton Park View Worthing - Teville Gate House Leeds Regional Centre - Wellington Place Stratford Regional Centre - Westfield Avenue Telford - Plaza 1 and 2 Cardiff Regional Centre - Ty William Morgan East Kilbride - Queensway House Edinburgh Regional Centre - Queen Elizabeth House Glasgow Regional Centre - Atlantic Square Liverpool Regional Centre - Water Street Salford - Trinity Bridge House About the job Job summary Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it's really like to work at HMRC. Visit our YouTube channel to watch the full series and come and discover your potential. Shape the Future of HMRC's Technology Platforms. The Chief Engineering and Platform Office (CEPO) are leading HMRC's technology transformation - simplifying systems, modernising IT delivery, and creating a future-ready digital landscape. Our mission is to reduce complexity by consolidating applications and adopting scalable, service-based solutions from trusted commercial partners. CEPO ensures HMRC's business groups, products, and services are supported by robust, secure, and innovative infrastructure. We set the direction, lead governance, and guarantee that every live service meets the highest standards - enabling efficient, reliable, and user-focused digital experiences for millions of customers. About the Teams Successful candidates will join one of three specialist teams within CEPO: Enterprise Cloud Services (ECS) - ECS delivers secure, scalable cloud platforms that underpin HMRC's digital services. With a broad customer base and diverse requirements, ECS provides foundational infrastructure that enables other teams, including EIS, to build and innovate. Enterprise Integration Services (EIS) - EIS ensures seamless connectivity and data flow across HMRC's systems. Acting as a consumer of ECS, EIS plays a critical role in driving integration standards and enabling interoperability across platforms. Contact Engagement Platform (CEP) - Build and run the core platforms that underpin HMRC's customer facing digital services. Further, CEP sets engineering standards and drives platform excellence across HMRC, ensuring consistency, resilience, and innovation in every solution we deliver. Job description As a Lead Infrastructure Engineer, you will manage infrastructure services and lead teams to design, build, and support complex infrastructure solutions. You will oversee programmes and projects, ensuring alignment with organisational strategy and operational integrity. This role requires expert-level technical knowledge, leadership skills, and the ability to anticipate future technological trends. Person specification We seek a strategic leader with deep technical expertise and hands-on experience managing large-scale cloud infrastructure projects. You will lead by example in delivering code in critical projects to a high standard. You will also bring excellent communication skills and an ability to influence at senior levels, alongside a strong understanding of modern development standards and security practices. You will provide technical leadership, manage third-party suppliers, and ensure systems integration standards are applied effectively. Other responsibilities include defining strategic roadmaps, managing resources, driving continuous improvement, and embedding security controls into all solutions. You will lead others in applying modern development standards and troubleshoot complex technical issues across multiple technology domains. Key Responsibilities Lead the design, implementation, and administration of complex Cloud infrastructure solutions and services. Establish standards and procedures for systems integration across the service lifecycle. Define and maintain strategic technology roadmaps for infrastructure services. Interact with, read, and write code to support automation and baseline repair activities. Design solutions with embedded security controls to mitigate security threats. Establish standards and procedures for systems integration across the service lifecycle. Manage planning and coordination of system and acceptance tests, including functional and non-functional specifications. Troubleshoot and resolve complex technical issues using lateral thinking across computing, storage, networking, and software. Lead teams in applying modern development standards and best practices. Mentor and guide infrastructure teams to deliver high-quality outcomes and continuous improvement. Essential Criteria Expert knowledge of IT infrastructure and ability to lead teams in secure by design implementations. Ability to identify and apply modern development standards and lead others in applying them. Experience establishing standards and procedures for systems integration. Proven leadership and mentoring skills with a focus on continuous improvement. An ability to read and write code and perform basic remediation activities. Experience managing system and acceptance test planning and providing authoritative advice.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.

Job Title: Principal AI/LLM Engineer Job Location: Rochester, Kent. Onsite Salary: Circa £75,000 depending on experience and skills Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. What you'll be doing: Architecture & Design Authority - Define / maintain the reference architecture for the BAE ES UK AI/LLM infrastructure across on-prem GPU clusters, virtualized environments. Experience in Engineering & Deployment - Deploy and maintain LLM inference, Implement RAG pipelines, Build CI/CD for AI models, Optimisation & Monitoring of the AI stack. Security, Compliance & Governance - Work closely with IT Security, Data Governance, and Architecture Boards to ensure compliance with GDPR, BAE Global Cyber Security Standards, SOC2, ISO27001, HIPAA (if applicable). Mentoring other staff members. Presenting to senior leadership Te am. Core D uties: Proven experi ence d eploying AI/ML platforms in enterprise/on-prem environments Deep knowledge of Kubernetes, Docker, and infrastructure automation (Terraform, Helm, Ansible) Good experience with LLM frameworks (Hugging Face, vLLM, DeepSpeed, LangChain, Ray) Familiarity with message queues, API gateways, and service meshes for scalable inference environments Proven progra mming skills in Python; comfortable with concepts such as Bash, YAML, and CI pipelines The Electronic Systems IT team: BAE Systems, Electronic Systems IT (UK) based in Rochester have a strategic objective to rapidly expanding our use of AI over the coming years. To assist with this objective, we require a Principal AI/LLM Engineer to join our IT department. The Principal AI/LLM Engineer will serve as both a implementer and technical authority for our AI infrastructure. You will architect, deploy, tune, and monitor our Large Language Model (LLM) and AI stack across primarily on-premise environments with selective cloud integrations. This role spans MLOps and platform engineering, and implements AI governance, ensuring our AI capabilities are secure, performant, compliant, and aligned to long-term enterprise strategy. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence an d be empow ered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of sha red purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restr ictions . These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are elig ible to perform within the organisation. All applicants mu st as a mi n imum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants mu st typical l y ha ve 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow fo r meaningful security vetting checks. Closing Date: 23rd March 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. The refore, if you are interested, please submit your application as early as possible.